155RESE Remote Sensing

Basic Information

• 2 hours lectures per week
• 2 hours exercises per week
• 6 credits
• finished with an exam
• winter semester

Anotation

Literature

1. xxx

Lectures

Theoretical Lecturer: prof. Dr. Ing. Karel Pavelka

Practical Lecturers: Ing. Eva Matoušková, PhD. and Ing. Tomáš Bouček

Exercises

• Introduction
• Data download
• Working with remote sensing data 1
• Working with remote sensing data 2
• Image filtering and processing
• Vegetation indeces
• Unsupervised classification
• Supervised classification
• Practical example - land cover
• Classification accuracy
• Introduction to hyperspectral data
• Principal Component Analysis